public void AddColumnTestAddsColumnWithGivenValue()
{
SparseVector expected = new SparseVector(TestMatrix.Rows);
expected[0] = 5.0f;
expected[1] = 5.0f;
expected[2] = 5.0f;
TestMatrix.AddColumn(5.0f);
Assert.IsTrue(expected.ApproximatelyEqual(
TestMatrix.ColumnVector(TestMatrix.Columns - 1)));
}
public void VectorProductTestVectorGreaterThanZero()
{
SparseVector expected = new SparseVector(3);
expected[0] = 16.2f;
expected[1] = 13.9f;
expected[2] = 11.0f;
SparseVector v = new SparseVector(5);
v[0] = 1f;
v[1] = 2f;
v[2] = 3f;
v[3] = 4f;
v[4] = 5f;
v = TestMatrix.VectorProduct(v);
Assert.IsTrue(expected.ApproximatelyEqual(v));
}
public void VectorProductTestValuesLessThanZero()
{
SparseVector expected = new SparseVector(3);
expected[0] = -16.2f;
expected[1] = -13.9f;
expected[2] = -11.0f;
SparseVector v = new SparseVector(5);
v[0] = -1f;
v[1] = -2f;
v[2] = -3f;
v[3] = -4f;
v[4] = -5f;
v = TestMatrix.VectorProduct(v);
Assert.IsTrue(expected.ApproximatelyEqual(v));
}
public void VectorProductTestNullVector()
{
SparseVector expected = new SparseVector(3);
expected[0] = 0f;
expected[1] = 0f;
expected[2] = 0f;
SparseVector v = new SparseVector(5);
v[0] = 0f;
v[0] = 0f;
v[0] = 0f;
v[0] = 0f;
v[0] = 0f;
v = TestMatrix.VectorProduct(v);
Assert.IsTrue(expected.ApproximatelyEqual(v));
}
public void ColumnVectorTestCorrect()
{
SparseVector expected = new SparseVector(3);
expected[0] = 3.0f;
expected[2] = 0.5f;
SparseVector result = TestMatrix.ColumnVector(0);
Assert.IsTrue(expected.ApproximatelyEqual(result));
}
public void NormalizeTestWhenLessThanZero()
{
TestVector[4] = -TestVector[4];
SparseVector expected = new SparseVector(5);
expected[1] = 0.2182179f;
expected[2] = 0.4364358f;
expected[4] = -0.8728715f;
SparseVector result = TestVector.Normalize();
Assert.IsTrue(expected.ApproximatelyEqual(result));
}
